RSAModelUttKLDivParamCD4: Cost function for two parameter optimization for the...

In haniaelkersh/rsa-publish-test: Prior Inference Package

Description

Full-RSA

Alpha and klValueFactor are optimized.

Softness and non-obedience are fixed at 0.

Usage

RSAModelUttKLDivParamCD4(params, data)

Arguments

params

Two value vector specifying two of the four parameters to be optimized: alpha: A parameter value between 0 and 1. Exponential scaling of the speaker choosing the utterance that maximizes the chance of the listener getting the target object right. klValueFactor: can be negative, zero or positive: zero Don't care about learning about feature preferences of the listener positive Care about learning about feature preferences of the listener negative Trying to pick non-ambiguous utterances

data

A matrix with data rows. column structure: [1:OC1,OC2,OC3,4:numUttOptions,7-X:TurkerSliderValues] 1:OC1 Object 1. A value between 1 and 27. 2:OC2 Object 2. A value between 1 and 27. 3:OC3 Object 3. A value between 1 and 27. 4:numUttOptions The number of valid utterances in the scene. 7-X:TurkerSliderValues These columns contain the participants' slider values.

Details

This function uses RSAModelUttKLDiv_4params.

Value

Minimized Kullback-Leibler divergence and the optimal parameters.

haniaelkersh/rsa-publish-test documentation built on Jan. 31, 2021, 2:02 a.m.